Towards AI has published Building LLMs for production!
Role Highlights
SQL
Data Science
Logistic Regression
Computer Science
Research
Statistics
Reliability
Economics
Quantitative
Tools, Libraries and Frameworks
Description
The role involves developing complex methods and systems to analyze diverse big data sources, aiming to provide insights for business enhancement. This position collaborates with experienced data scientists to innovate research approaches and improve data processes. The successful candidate will work independently on unstructured problems, build sophisticated econometric and machine learning models for various applications, and engage in model refinement and production discussions. There is an emphasis on promoting diversity and adhering to risk and regulatory standards.
Required Qualifications and Skills
A Bachelor’s degree is required alongside a minimum of 5 years of relevant experience, or a combination of 9 years higher education and/or work experience with at least 5 years related to the field. Proficiency with statistics and data science principles is crucial, as is experience with significant data sets and various modeling techniques. The ideal candidate may also hold a Master's or Doctorate degree in a quantitative field and demonstrate proficiency in advanced statistical methods. Proficiency with pertinent statistical software and languages is necessary for fulfilling job responsibilities.
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